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Paper Abstract and Keywords
Presentation 2022-01-21 10:55
A System for Estimating Individual Differences of Perceptual Information in the Brain via Brain-activity Prediction by Convolutional Neural Networks
Kiichi Kawahata (Osaka Univ.), Antoine Blanc (NICT), Naoya Maeda (NTT Data), Shinji Nishimoto (Osaka Univ.), Satoshi Nishida (NICT) NC2021-31
Abstract (in Japanese) (See Japanese page) 
(in English) Our brains shape individual differences of perception by responding to sensory inputs differently across individuals. This study aimed to develop a computational system that estimates such individual differences of perceptual information in the brain with no brain measurement. For this purpose, we employed the method we previously developed to predict brain response to arbitrary movie inputs using convolutional neural networks. This method requires no brain measurement once computational models for predicting brain response are trained using measured brain data. We evaluated the inter-subject dissimilarity of perceptual information decoded separately from predicted and measured brain responses to movies. We found that the inter-subject dissimilarity decoded from predicted response was significantly correlated with that decoded from measured response for 80/86 items to be decoded. Our finding suggests that our computational system can estimate individual differences of perceptual information in the brain.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep Learning / Brain / Perception / Individual Differences / Neuroimaging / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 338, NC2021-31, pp. 1-6, Jan. 2022.
Paper # NC2021-31 
Date of Issue 2022-01-14 (NC) 
ISSN Online edition: ISSN 2432-6380
Copyright
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reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee NLP MICT MBE NC  
Conference Date 2022-01-21 - 2022-01-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2022-01-NLP-MICT-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A System for Estimating Individual Differences of Perceptual Information in the Brain via Brain-activity Prediction by Convolutional Neural Networks 
Sub Title (in English)  
Keyword(1) Deep Learning  
Keyword(2) Brain  
Keyword(3) Perception  
Keyword(4) Individual Differences  
Keyword(5) Neuroimaging  
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1st Author's Name Kiichi Kawahata  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Antoine Blanc  
2nd Author's Affiliation Institute, National Institute of Information and Communications Technology (NICT)
3rd Author's Name Naoya Maeda  
3rd Author's Affiliation NTT DATA Corporation (NTT Data)
4th Author's Name Shinji Nishimoto  
4th Author's Affiliation Osaka University (Osaka Univ.)
5th Author's Name Satoshi Nishida  
5th Author's Affiliation Institute, National Institute of Information and Communications Technology (NICT)
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Speaker Author-1 
Date Time 2022-01-21 10:55:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2021-31 
Volume (vol) vol.121 
Number (no) no.338 
Page pp.1-6 
#Pages
Date of Issue 2022-01-14 (NC) 


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